Renault unveils EV versions of Kangoo and Master LCVs

Renault Pro+ has unveiled two new electric light commercial vehicles (LCV) at the Brussels Motor Show in Belgium.

The new Kangoo Z.E. and Master Z.E. join the company’s other electric LCVs, which include the Twizy Cargo (a quadricycle with a boot launched in 2014) and New Commercial ZOE with a range of 400km.

The vehicle features a new battery, new engine, new charger, new connected services, and a heat pump in the air conditioning system.

It also comes equipped with a new “Z.E.33” battery (33kWh) and also gains a new engine, 100% Renault.

The Kangoo Z.E. now proposes a range of 270 km, with full charge taking around six hours from a 7 kW WallBox.

It will go on sale in Europe from mid-2017.

Additionally, the electric version of Master is aimed primarily at fleets running distribution services in the city, as well as large municipalities and local government.

The Master Z.E. is equipped with the “Z.E. 33” battery (33 kWh) and fitted with the R75, an energy efficiency engine with output of 57 kW/76 hp, inherited from the ZOE. Master Z.E. has a range of 200km.

Charging the Master Z.E. takes less than one night to charge: a full charge takes six hours with the 7 kW WallBox. Master Z.E. will arrive in the European market at the end of 2017.

New services for fleet managers now available

LCV customers can also take advantage of new connected services like Z.E. Trip and Z.E. Pass on New Kangoo Z.E.

These services enable easy charging at one of Europe’s 80,000 public EV charging points.

In 2017, Renault Pro+ will also be rolling out a number of other connected services dedicated to business users, starting with two priority service families, “Fleet Management” and “Predictive Maintenance”.

“Fleet Management” is a telematic service which gives access for fleet managers to valuable vehicle data for effective and efficient business management, and better total cost of ownership, cutting fleet running costs (lower consumption, manage and plan servicing).

“Predictive Maintenance” involves issuing real-time information on the vehicle’s condition.

Based on the predictive data analysis system, it helps to plan ahead for maintenance and therefore optimising servicing costs.